Adjunct Faculty – Business Analytics
- Dubai, United Arab Emirates
نُشرت أمس
عن الوظيفة
About UOWD
Established in 1951 and ranked in the top 1% of universities worldwide*, Australia's University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education's Commission for Academic Accreditation (CAA) and licensed by Dubai's Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students. Located strategically near the Palm and the Burj Khalifa, the University benefits from the huge investment and innovation opportunities the city is known for globally.
- QS World University Rankings 2024
The School of Business is seeking PhD-qualified academics and/or industry professionals with expertise in Business Analytics, AI, Machine Learning, Big Data, Data Management, or related fields to teach postgraduate subjects focused on the application of emerging data and AI technologies to business problems and decision-making.
The subjects are offered within the School of Business and are designed from a business, managerial and applied analytics perspective.
Applied Machine Learning and AI for Business
This subject focuses on applying AI and Machine Learning techniques to solve real-world business problems and support business decision-making across different industries.
Key areas:
Supervised and unsupervised Machine Learning
Regression, classification and decision trees
KNN, SVM and clustering
Time-series analysis and neural networks
Data preparation, feature selection and model validation
Business applications using Python and/or SAS Viya
Big Data Management and Integration
This subject focuses on the business use, management and integration of data to support analytics, organisational decision-making and business performance.
Key areas:
SQL, relational databases and NoSQL
Structured, semi-structured and unstructured data
Hadoop and Apache Spark
Data lakes, data warehouses and cloud platforms
Data pipelines and ETL
Data Quality, Ethics and Governance
Business applications using Oracle, Google Cloud, Microsoft Azure or similar platforms
Deliver engaging and interactive lectures to post graduate level students.Develop engaging learning materials using contemporary case studies.
Facilitate critical discussion on application of emerging data and AI technologies to business problems and decision-making.
Integrate real-world examples and industry developments into teaching.
The ideal candidate should have:
A PhD in Business Analytics, Artificial Intelligence, Machine Learning, Information Systems, Big Data, Data Management, Statistics, or a closely related discipline
Strong business-oriented academic and/or industry expertise in AI, Machine Learning, Big Data or Data Analytics
University-level teaching experience, preferably at postgraduate level
Practical experience with relevant analytics, data or AI technologies
The ability to translate technical concepts into business applications, managerial insights and decision-making
Experience applying AI, Machine Learning or Big Data to real-world business or industry challenges
Candidates with a strong business analytics, management or industry application focus are particularly encouraged to apply.